In this course, we learn about the principles of data analysis using statistics, with primary emphases on developing critical thinking skills and performing analyses on real data sets. After completing this course, students will able to design and analyze basic statistical studies, to understand and criticize statistical methods in journals and the media, and to appreciate the power and utility of statistical thinking. Examples and methods are drawn primarily from the behavioral, natural, and social sciences and public policy.

The course will cover the following topics:

• Survey and experimental design
• Exploratory data analysis
• Correlation and linear regression
• Laws of probability
• Confidence intervals and significance tests
• Bayesian perspective in statistical inference

We will be using Blackboard extensively in this course. You should log on to Blackboard regularly for up-to-date information.

Important Dates

May 23: Add/Drop ends
June 15: Last day to withdraw WP or WF
June 30: Final Exam, 9a-12pm